Experienced Software Engineer: Electricity Trading

At Volcore, our team of wholesale electricity traders and technical experts work together to make real-time decisions that support increasing renewable generation and keep the electricity system stable. We are a profitable and ambitious startup, with several full-time, on-site openings in our technical team to underpin our rapid growth.

LOCATION

Manchester City Centre, On-site

EMPLOYMENT TYPE

Permanent Full-Time

What You’ll Do

Solve real-world energy problems, often requiring novel approaches developed through team collaboration and original research.

Identify and ingest relevant data, ensuring thorough documentation in our internal knowledge base.

Iteratively test hypotheses and develop proof-of-concepts to solve real-time forecasting problems.

Document and visualise results, sharing insights with the team.

Develop, deploy and maintain our software with a focus on speed and accuracy.

Continually improve our shared libraries and workflows to ensure they are fast, accurate and a delight to use.

Role model and advise on best practices and become a trusted expert in the topics you work most deeply on.

This role blends Software Engineering and Data Science, perfect for curious problem-solvers who enjoy tackling challenges end-to-end.

Why Volcore?

Uncapped career development: Deliver value, and you’ll be recognised and rewarded, regardless of title or experience. We offer continuous opportunities for growth and new challenges.

Fast-growing startup: We’re a young, ambitious company on a rapid growth trajectory, giving you the opportunity to jump on board early and play a key role in shaping our future.

Impactful problem solving: You will be trusted with significant projects that can immediately, visibly affect our success and the industry more broadly, leading to innovative solutions in areas that haven’t been tackled before.

Minimal bureaucracy: Your ideas and feedback matter. We prioritise time for you to focus on what you do best, while still providing support from the wider team.

Modern tech stack: Including Python, Node JS / Typescript, Postgres and, increasingly, Rust.

Colleagues instead of customers: Everything you build will be used by people sitting next to you.

High-performing, friendly team: Work alongside bright, driven people who are trusted to deliver and enjoy socialising after a successful day.

About You

No energy expertise required, but you must quickly learn new concepts and think independently.

Several (at least 4) years of professional software development experience, with a focus on accuracy, performance, and maintainability.

Proven ability to solve complex real-world mathematical problems, including selecting and implementing the right algorithms, and delivering clean, efficient, and reliable code.

Practical experience with Python, backend TypeScript, and SQL, or the ability to upskill rapidly with minimal direct training.

The ability to document and communicate your thinking clearly, including in our knowledge base, notebooks, comments and code itself.

Ownership of projects from start to finish, with intrinsic drive to deliver high-quality work quickly.

By the time this role commences, be eligible to live and work full-time in the UK.

The following are not essential, but you will benefit from highlighting any relevant experience:

Meteorological data manipulation and physical systems modelling.

Real-time and online forecasting, especially time-series.

Novel, domain-specific feature extraction.

Finance, sports betting, derivatives or other markets experience.

Typically this position attracts people who have outgrown their previous role and are seeking more responsibility or more challenging subject matter.

Salary: £45,000 to £65,000 depending on experience + participation in our bonus scheme for high-performers.

To apply, please:

Submit your CV, highlighting how your experience meets the requirements for this role
Complete the short application questionnaire (don’t worry, it doesn’t make you repeat things in your CV)

Thank you for reading this far. We look forward to hearing from you.

Apply